End-to-End Differentiable Learning of a Single Functional for DFT and Linear-Response TDDFT

Xiaoyu Zhang

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DOI: 10.1021/acs.jctc.6c00674
Published: 2026-08-07
Container: Journal of Chemical Theory and Computation
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acs.jctc.6c00674,
  title = {End-to-End Differentiable Learning of a Single Functional
for DFT and Linear-Response TDDFT},
  author = {Xiaoyu Zhang},
  year = {2026},
  journal = {Journal of Chemical Theory and Computation},
  doi = {10.1021/acs.jctc.6c00674},
  url = {https://doi.org/10.1021/acs.jctc.6c00674}
}

RIS

TY  - JOUR
TI  - End-to-End Differentiable Learning of a Single Functional
for DFT and Linear-Response TDDFT
AU  - Xiaoyu Zhang
PY  - 2026
JO  - Journal of Chemical Theory and Computation
DO  - 10.1021/acs.jctc.6c00674
UR  - https://doi.org/10.1021/acs.jctc.6c00674
ER  -

APA

Zhang, X. (2026). End-to-End Differentiable Learning of a Single Functional for DFT and Linear-Response TDDFT. Journal of Chemical Theory and Computation. https://doi.org/10.1021/acs.jctc.6c00674

Source records

crossref · retrieved 2026-09-25T08:50:05.548Z